About the project The impact of various attributes like tax, crime rate, proximity to airport, etc. are analyzed and reports and graphs are generated. Depending on these various attributes the house prices of houses located in Boston are predicted using Linear regression model.

How to run 1)Copy the .ipynb file and dataset from the dvd

2)open Google Collab and connectn to the server

3)import the .ipynb file into google collab

4)import the daatset into Google Collab

5)Run the code